Translator Disclaimer
8 December 2006 Spatial resolution enhancement and interpolation using Backus-Gilbert inversion: demonstration with TMI brightness temperature data
Author Affiliations +
Abstract
The Backus-Gilbert Inversion technique is a proven method of temperature inversion in microwave radiometry with a scope of trade-off between desired resolution and tolerable noise. In this study it is used to super-resolve brightness temperature data independent of the inversion process. The BGI-method is applied on scan-mode TMI (TRMM Microwave Imager) data. The 19.35GHz TMI channel provides brightness temperature data oversampled by a factor of two and geo-collocated with the 37GHz channel data. Consequently, the enhancement of features in the 19.35GHz image after BG-resolving is validated by the identification of such features in the 37GHz image. The potential of the BGImethod as a non-degrading interpolation technique is also tested.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Prantik Chakraborty and Arundhati Misra "Spatial resolution enhancement and interpolation using Backus-Gilbert inversion: demonstration with TMI brightness temperature data", Proc. SPIE 6410, Microwave Remote Sensing of the Atmosphere and Environment V, 64100P (8 December 2006); https://doi.org/10.1117/12.692882
PROCEEDINGS
11 PAGES


SHARE
Advertisement
Advertisement
Back to Top